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software systems to manage and process large datasets related to building energy modeling and data visualization Strong software development skills for automation of many knowledge-based tasks in a version
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commitment to high quality research and will be able to contribute excellent teaching to the development of our undergraduate and postgraduate programmes. You should hold a PhD in a relevant field, have a high
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reconcile payroll records, ensuring integrity of data and alignment with the financial ledgers. Manage payroll and pension year‑end processes, statutory returns, and audit requirements. Ensure robust internal
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teaching academic courses Complete Dean’s Reviews of full-time faculty, as scheduled annually within the faculty evaluation process Supervise the Associate Dean of Bard Academy, Associate Dean of the Early
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. Requirements: Computer Systems Engineer Level 2: Bachelor's degree and 5 years of related experience, or 3 years and a Master's degree, or three years and a PhD degree, or an equivalent combination of education
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out research and development processes in the field of finance including leading a research group. We welcome candidates from any area of finance. In particular research inbehavioural finance, financial
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, and process automation Project background During your PhD, you will examine how conversational AI can be deployed effectively to frontline service interactions with customers or as a support tool for
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demonstrate the ability to work as a team member; to think creatively; and to evaluate and improve existing process and procedures. Must have strong and polished interpersonal, written and oral communication
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an indefinite contract. About You To be successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria PhD/DPhil Degree in biochemistry, chemistry or
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Models, Automatic Speech Recognition, Automatic Speech Synthesis, Computer-Assisted Translation (CAT), Software Localisation, Terminology Extraction and Management, Project Management, Quality Assurance